How SREs are Leveraging AI: Coding Agents and the Future of Shell Scripting

The future of reliability is not one tool. It is a team of agents working together. At AWS re:Invent, I had a chat with Francois Martel, Field CTO at NeuBird.ai, to talk about how AI is changing the way developers and SREs handle reliability in the real world.

Here are the key takeaways from our conversation

-- Coding agents are becoming the front door to AI

Tools like GitHub Copilot and Cursor are getting massive adoption. When paired with NeuBird’s Hawkeye agentic SRE server, these agents can jump straight into root cause analysis and even take action to remediate issues

-- SREs are a natural fit for agents

SREs already live in the command line and think in scripts. Coding agents are an easy and practical entry point for bringing AI into day to day SRE workflows

-- Agent adoption is speeding up

We are past experimentation. Customers are seeing value from early use cases, which is pushing broader and faster adoption of agent based systems

-- Enterprise security still matters

For larger organizations, NeuBird can deploy the agent inside the customer’s VPC. The data stays in their environment and the full data path remains under their control

-- AWS partnership momentum

NeuBird is launching a pay as you go offering on the AWS Marketplace. This makes it one of the first agentic SRE servers you can try without long term commitment and connect to tools like AWS, Datadog, Dynatrace, and Grafana

If you want to see how agentic SRE works in practice, you can start with the pay as you go option or the two week free trial and pairing it with your favorite coding agent.

It was great catching up with François again and seeing how NeuBird is pushing the agentic SRE space forward.

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